Developing a common globally applicable method for optical remote sensing of ecosystem light use efficiency

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https://www.sciencedirect.com/science/article/abs/pii/S0034425719302020

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https://doi.org/10.1016/j.rse.2019.05.009
 http://hdl.handle.net/11603/24376

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UMBC Joint Center for Earth Systems Technology (JCET)
UMBC Faculty Collection
UMBC Physics Department

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https://orcid.org/0000-0003-4148-9108
 https://orcid.org/0000-0002-0505-4951

Date

2019-09-01

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journal articles
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Citation of Original Publication

Huemmrich, Karl F. et al. Developing a common globally applicable method for optical remote sensing of ecosystem light use efficiency. Remote Sensing of Environment 230 (1 September 2019) 111190. https://doi.org/10.1016/j.rse.2019.05.009

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This work was written as part of one of the author's official duties as an Employee of the United States Government and is therefore a work of the United States Government. In accordance with 17 U.S.C. 105, no copyright protection is available for such works under U.S. Law.
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Abstract

This study examines the use of spectral reflectance to determine ecosystem photosynthetic light use efficiency (LUE) during mid-growing season for 32 globally distributed flux tower sites. Surface reflectance for 133 spectral bands were extracted for areas around the flux towers from imagery collected by the Hyperion instrument on the Earth Observing 1 satellite. The average reflectance spectra were matched with LUE derived from CO₂ flux data collected using eddy covariance techniques from the La Thuile Fluxnet Synthesis Dataset, resulting in 79 observations collected between 2000 and 2007. LUE was calculated from daily gross ecosystem production (GEP) and incident photosynthetically active radiation (PAR) from the flux towers and MODIS fraction of absorbed PAR (fPAR). An examination of all possible two band normalized difference vegetation indices found that no index performed better than R² of 0.55, although 60 of the bands were included in normalized difference indices with a R² > 0.45. A partial least squares regression (PLSR) using all spectral bands produced a R² of 0.81, suggesting the use of this approach to develop a globally-applicable retrieval method for LUE using spectral imagery from future missions flying imaging spectrometers, such as the NASA Surface Biology and Geology mission.